Suppose that one can observe bivariate random variables (X, Y) only when X<=Y holds. Data (Xj, Yj), subject to Xj<=Yj, for all j=1,...,n, are called truncated data. For truncated data, several different approaches are implemented for statistical inference on (X, Y), when X and Y are dependent. Also included is truncated data on the number of deaths at each year (1963-1980) for Japanese male centenarians.
| Version: | 2.8 |
| Depends: | mvtnorm |
| Published: | 2017-08-11 |
| Author: | Takeshi Emura |
| Maintainer: | Takeshi Emura <takeshiemura at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | depend.truncation results |
| Reference manual: | depend.truncation.pdf |
| Package source: | depend.truncation_2.8.tar.gz |
| Windows binaries: | r-devel: depend.truncation_2.8.zip, r-release: depend.truncation_2.8.zip, r-oldrel: depend.truncation_2.8.zip |
| OS X El Capitan binaries: | r-release: depend.truncation_2.8.tgz |
| OS X Mavericks binaries: | r-oldrel: depend.truncation_2.8.tgz |
| Old sources: | depend.truncation archive |
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